Overview

Dataset statistics

Number of variables24
Number of observations12
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory202.7 B

Variable types

Numeric24

Alerts

countyCode is highly correlated with population and 15 other fieldsHigh correlation
population is highly correlated with countyCode and 17 other fieldsHigh correlation
agePct12t21 is highly correlated with countyCode and 11 other fieldsHigh correlation
agePct12t29 is highly correlated with agePct12t21 and 8 other fieldsHigh correlation
agePct16t24 is highly correlated with agePct12t21 and 5 other fieldsHigh correlation
agePct65up is highly correlated with agePct12t21 and 15 other fieldsHigh correlation
murders is highly correlated with agePct12t21 and 15 other fieldsHigh correlation
murdPerPop is highly correlated with countyCode and 20 other fieldsHigh correlation
rapes is highly correlated with countyCode and 20 other fieldsHigh correlation
rapesPerPop is highly correlated with countyCode and 18 other fieldsHigh correlation
robberies is highly correlated with population and 14 other fieldsHigh correlation
robbbPerPop is highly correlated with population and 17 other fieldsHigh correlation
assaults is highly correlated with countyCode and 20 other fieldsHigh correlation
assaultPerPop is highly correlated with countyCode and 19 other fieldsHigh correlation
burglaries is highly correlated with population and 18 other fieldsHigh correlation
burglPerPop is highly correlated with countyCode and 18 other fieldsHigh correlation
larcenies is highly correlated with countyCode and 19 other fieldsHigh correlation
larcPerPop is highly correlated with countyCode and 18 other fieldsHigh correlation
autoTheft is highly correlated with countyCode and 21 other fieldsHigh correlation
autoTheftPerPop is highly correlated with countyCode and 18 other fieldsHigh correlation
arsons is highly correlated with countyCode and 14 other fieldsHigh correlation
arsonsPerPop is highly correlated with countyCode and 18 other fieldsHigh correlation
ViolentCrimesPerPop is highly correlated with countyCode and 19 other fieldsHigh correlation
nonViolPerPop is highly correlated with countyCode and 19 other fieldsHigh correlation
countyCode has unique values Unique
population has unique values Unique
agePct12t21 has unique values Unique
agePct12t29 has unique values Unique
agePct16t24 has unique values Unique
agePct65up has unique values Unique
rapes has unique values Unique
rapesPerPop has unique values Unique
robberies has unique values Unique
robbbPerPop has unique values Unique
assaults has unique values Unique
assaultPerPop has unique values Unique
burglaries has unique values Unique
burglPerPop has unique values Unique
larcenies has unique values Unique
larcPerPop has unique values Unique
autoTheft has unique values Unique
autoTheftPerPop has unique values Unique
ViolentCrimesPerPop has unique values Unique
nonViolPerPop has unique values Unique
murders has 3 (25.0%) zeros Zeros
murdPerPop has 3 (25.0%) zeros Zeros
arsons has 3 (25.0%) zeros Zeros
arsonsPerPop has 3 (25.0%) zeros Zeros
nonViolPerPop has 1 (8.3%) zeros Zeros

Reproduction

Analysis started2022-12-02 03:22:36.281402
Analysis finished2022-12-02 03:23:30.779542
Duration54.5 seconds
Software versionpandas-profiling v3.3.0
Download configurationconfig.json

Variables

countyCode
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.16666667
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:30.847351image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q18
median14
Q321.5
95-th percentile25.9
Maximum27
Range26
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.716059716
Coefficient of variation (CV)0.6152512741
Kurtosis-1.229054284
Mean14.16666667
Median Absolute Deviation (MAD)8
Skewness-0.03293188754
Sum170
Variance75.96969697
MonotonicityStrictly increasing
2022-12-01T22:23:30.935558image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
11
8.3%
31
8.3%
51
8.3%
91
8.3%
111
8.3%
131
8.3%
151
8.3%
171
8.3%
211
8.3%
231
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
11
8.3%
31
8.3%
51
8.3%
91
8.3%
111
8.3%
131
8.3%
151
8.3%
171
8.3%
211
8.3%
231
8.3%
ValueCountFrequency (%)
271
8.3%
251
8.3%
231
8.3%
211
8.3%
171
8.3%
151
8.3%
131
8.3%
111
8.3%
91
8.3%
51
8.3%

population
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean367578.4167
Minimum18666
Maximum1174850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.018976image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum18666
5-th percentile23394.9
Q1104716
median316936
Q3536939.25
95-th percentile844538.15
Maximum1174850
Range1156184
Interquartile range (IQR)432223.25

Descriptive statistics

Standard deviation327030.9483
Coefficient of variation (CV)0.8896902904
Kurtosis2.431287099
Mean367578.4167
Median Absolute Deviation (MAD)226709.5
Skewness1.308824086
Sum4410941
Variance1.069492411 × 1011
MonotonicityNot monotonic
2022-12-01T22:23:31.104710image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1178151
8.3%
654191
8.3%
3506911
8.3%
5570581
8.3%
186661
8.3%
2831811
8.3%
272641
8.3%
11748501
8.3%
5302331
8.3%
2538971
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
186661
8.3%
272641
8.3%
654191
8.3%
1178151
8.3%
2538971
8.3%
2831811
8.3%
3506911
8.3%
4575841
8.3%
5302331
8.3%
5570581
8.3%
ValueCountFrequency (%)
11748501
8.3%
5742831
8.3%
5570581
8.3%
5302331
8.3%
4575841
8.3%
3506911
8.3%
2831811
8.3%
2538971
8.3%
1178151
8.3%
654191
8.3%

agePct12t21
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.72924333
Minimum10.78666667
Maximum15.805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.189033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum10.78666667
5-th percentile11.6355
Q112.45469572
median13.90420168
Q315.16875
95-th percentile15.71669444
Maximum15.805
Range5.018333333
Interquartile range (IQR)2.714054276

Descriptive statistics

Standard deviation1.608628467
Coefficient of variation (CV)0.1171680353
Kurtosis-0.9822509866
Mean13.72924333
Median Absolute Deviation (MAD)1.456685233
Skewness-0.274698305
Sum164.7509199
Variance2.587685545
MonotonicityNot monotonic
2022-12-01T22:23:31.273548image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10.786666671
8.3%
15.4051
8.3%
15.644444441
8.3%
12.4618751
8.3%
12.331
8.3%
13.974285711
8.3%
15.8051
8.3%
12.559705881
8.3%
12.433157891
8.3%
14.426666671
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
10.786666671
8.3%
12.331
8.3%
12.433157891
8.3%
12.4618751
8.3%
12.559705881
8.3%
13.834117651
8.3%
13.974285711
8.3%
14.426666671
8.3%
15.091
8.3%
15.4051
8.3%
ValueCountFrequency (%)
15.8051
8.3%
15.644444441
8.3%
15.4051
8.3%
15.091
8.3%
14.426666671
8.3%
13.974285711
8.3%
13.834117651
8.3%
12.559705881
8.3%
12.4618751
8.3%
12.433157891
8.3%

agePct12t29
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.79592767
Minimum20.66166667
Maximum35.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.356868image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum20.66166667
5-th percentile22.75075
Q125.01738839
median27.00495098
Q327.53698529
95-th percentile31.824
Maximum35.85
Range15.18833333
Interquartile range (IQR)2.519596901

Descriptive statistics

Standard deviation3.545477943
Coefficient of variation (CV)0.1323140586
Kurtosis4.148907112
Mean26.79592767
Median Absolute Deviation (MAD)1.432368421
Skewness1.198193947
Sum321.5511321
Variance12.57041385
MonotonicityNot monotonic
2022-12-01T22:23:31.440270image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20.661666671
8.3%
28.531
8.3%
27.465555561
8.3%
25.1293751
8.3%
24.461
8.3%
24.681428571
8.3%
27.5251
8.3%
26.943235291
8.3%
25.665263161
8.3%
27.066666671
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
20.661666671
8.3%
24.461
8.3%
24.681428571
8.3%
25.1293751
8.3%
25.665263161
8.3%
26.943235291
8.3%
27.066666671
8.3%
27.465555561
8.3%
27.5251
8.3%
27.572941181
8.3%
ValueCountFrequency (%)
35.851
8.3%
28.531
8.3%
27.572941181
8.3%
27.5251
8.3%
27.465555561
8.3%
27.066666671
8.3%
26.943235291
8.3%
25.665263161
8.3%
25.1293751
8.3%
24.681428571
8.3%

agePct16t24
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.73180476
Minimum9.84
Maximum19.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.531376image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9.84
5-th percentile10.852
Q112.46407895
median13.32382353
Q314.97875
95-th percentile17.45075
Maximum19.45
Range9.61
Interquartile range (IQR)2.514671053

Descriptive statistics

Standard deviation2.452817645
Coefficient of variation (CV)0.1786231081
Kurtosis1.874756194
Mean13.73180476
Median Absolute Deviation (MAD)1.338333333
Skewness0.9514238867
Sum164.7816571
Variance6.0163144
MonotonicityNot monotonic
2022-12-01T22:23:31.610998image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9.841
8.3%
15.8151
8.3%
14.786666671
8.3%
12.111
8.3%
11.681
8.3%
12.748571431
8.3%
15.5551
8.3%
13.136470591
8.3%
12.582105261
8.3%
13.566666671
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
9.841
8.3%
11.681
8.3%
12.111
8.3%
12.582105261
8.3%
12.748571431
8.3%
13.136470591
8.3%
13.511176471
8.3%
13.566666671
8.3%
14.786666671
8.3%
15.5551
8.3%
ValueCountFrequency (%)
19.451
8.3%
15.8151
8.3%
15.5551
8.3%
14.786666671
8.3%
13.566666671
8.3%
13.511176471
8.3%
13.136470591
8.3%
12.748571431
8.3%
12.582105261
8.3%
12.111
8.3%

agePct65up
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.06242146
Minimum9.442222222
Maximum20.605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.693843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum9.442222222
5-th percentile9.7765
Q111.53720588
median12.36596491
Q313.92928571
95-th percentile17.96775
Maximum20.605
Range11.16277778
Interquartile range (IQR)2.392079832

Descriptive statistics

Standard deviation3.01560185
Coefficient of variation (CV)0.2308608598
Kurtosis2.807063803
Mean13.06242146
Median Absolute Deviation (MAD)1.137857143
Skewness1.481843018
Sum156.7490575
Variance9.093854516
MonotonicityNot monotonic
2022-12-01T22:23:31.773681image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
20.6051
8.3%
15.231
8.3%
12.706666671
8.3%
12.821251
8.3%
15.811
8.3%
13.495714291
8.3%
11.71
8.3%
11.221
8.3%
12.025263161
8.3%
9.4422222221
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
9.4422222221
8.3%
10.051
8.3%
11.221
8.3%
11.642941181
8.3%
11.71
8.3%
12.025263161
8.3%
12.706666671
8.3%
12.821251
8.3%
13.495714291
8.3%
15.231
8.3%
ValueCountFrequency (%)
20.6051
8.3%
15.811
8.3%
15.231
8.3%
13.495714291
8.3%
12.821251
8.3%
12.706666671
8.3%
12.025263161
8.3%
11.71
8.3%
11.642941181
8.3%
11.221
8.3%

murders
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct10
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.66666667
Minimum0
Maximum98
Zeros3
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:31.883859image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.5
median11
Q317.75
95-th percentile55.65
Maximum98
Range98
Interquartile range (IQR)16.25

Descriptive statistics

Standard deviation26.86103407
Coefficient of variation (CV)1.611662044
Kurtosis9.306034192
Mean16.66666667
Median Absolute Deviation (MAD)9
Skewness2.918006811
Sum200
Variance721.5151515
MonotonicityNot monotonic
2022-12-01T22:23:31.965283image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03
25.0%
21
 
8.3%
41
 
8.3%
141
 
8.3%
211
 
8.3%
171
 
8.3%
81
 
8.3%
161
 
8.3%
981
 
8.3%
201
 
8.3%
ValueCountFrequency (%)
03
25.0%
21
 
8.3%
41
 
8.3%
81
 
8.3%
141
 
8.3%
161
 
8.3%
171
 
8.3%
201
 
8.3%
211
 
8.3%
981
 
8.3%
ValueCountFrequency (%)
981
 
8.3%
211
 
8.3%
201
 
8.3%
171
 
8.3%
161
 
8.3%
141
 
8.3%
81
 
8.3%
41
 
8.3%
21
 
8.3%
03
25.0%

murdPerPop
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct10
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.28583333
Minimum0
Maximum45.39
Zeros3
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.046238image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.195
median17.34
Q323.075
95-th percentile42.2935
Maximum45.39
Range45.39
Interquartile range (IQR)19.88

Descriptive statistics

Standard deviation15.37396587
Coefficient of variation (CV)0.9440085474
Kurtosis-0.4258920675
Mean16.28583333
Median Absolute Deviation (MAD)12.875
Skewness0.6687226611
Sum195.43
Variance236.3588265
MonotonicityNot monotonic
2022-12-01T22:23:32.123985image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03
25.0%
4.671
 
8.3%
4.261
 
8.3%
22.381
 
8.3%
16.881
 
8.3%
39.761
 
8.3%
25.161
 
8.3%
19.131
 
8.3%
17.81
 
8.3%
45.391
 
8.3%
ValueCountFrequency (%)
03
25.0%
4.261
 
8.3%
4.671
 
8.3%
16.881
 
8.3%
17.81
 
8.3%
19.131
 
8.3%
22.381
 
8.3%
25.161
 
8.3%
39.761
 
8.3%
45.391
 
8.3%
ValueCountFrequency (%)
45.391
 
8.3%
39.761
 
8.3%
25.161
 
8.3%
22.381
 
8.3%
19.131
 
8.3%
17.81
 
8.3%
16.881
 
8.3%
4.671
 
8.3%
4.261
 
8.3%
03
25.0%

rapes
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0833333
Minimum3
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.203614image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3.55
Q135.75
median93
Q3164.75
95-th percentile334.8
Maximum480
Range477
Interquartile range (IQR)129

Descriptive statistics

Standard deviation132.0230409
Coefficient of variation (CV)1.03886983
Kurtosis4.401515288
Mean127.0833333
Median Absolute Deviation (MAD)70
Skewness1.850300851
Sum1525
Variance17430.08333
MonotonicityNot monotonic
2022-12-01T22:23:32.289642image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
421
8.3%
41
8.3%
901
8.3%
1491
8.3%
171
8.3%
1571
8.3%
31
8.3%
2161
8.3%
961
8.3%
831
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
31
8.3%
41
8.3%
171
8.3%
421
8.3%
831
8.3%
901
8.3%
961
8.3%
1491
8.3%
1571
8.3%
1881
8.3%
ValueCountFrequency (%)
4801
8.3%
2161
8.3%
1881
8.3%
1571
8.3%
1491
8.3%
961
8.3%
901
8.3%
831
8.3%
421
8.3%
171
8.3%

rapesPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.165
Minimum17.13
Maximum586.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.373748image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum17.13
5-th percentile19.1375
Q189.11
median176.775
Q3329.5025
95-th percentile509.116
Maximum586.82
Range569.69
Interquartile range (IQR)240.3925

Descriptive statistics

Standard deviation174.7062669
Coefficient of variation (CV)0.7935242517
Kurtosis0.1755214019
Mean220.165
Median Absolute Deviation (MAD)120.49
Skewness0.8575620475
Sum2641.98
Variance30522.27968
MonotonicityNot monotonic
2022-12-01T22:23:32.453611image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
159.31
8.3%
17.131
8.3%
144.521
8.3%
328.141
8.3%
89.761
8.3%
234.991
8.3%
20.781
8.3%
445.541
8.3%
333.591
8.3%
194.251
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
17.131
8.3%
20.781
8.3%
87.161
8.3%
89.761
8.3%
144.521
8.3%
159.31
8.3%
194.251
8.3%
234.991
8.3%
328.141
8.3%
333.591
8.3%
ValueCountFrequency (%)
586.821
8.3%
445.541
8.3%
333.591
8.3%
328.141
8.3%
234.991
8.3%
194.251
8.3%
159.31
8.3%
144.521
8.3%
89.761
8.3%
87.161
8.3%

robberies
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean737.25
Minimum7
Maximum4081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.542688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11.4
Q149.75
median426
Q3823.75
95-th percentile2407.9
Maximum4081
Range4074
Interquartile range (IQR)774

Descriptive statistics

Standard deviation1118.039609
Coefficient of variation (CV)1.516499979
Kurtosis8.683726266
Mean737.25
Median Absolute Deviation (MAD)382.5
Skewness2.797143236
Sum8847
Variance1250012.568
MonotonicityNot monotonic
2022-12-01T22:23:32.623569image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
561
8.3%
311
8.3%
4911
8.3%
9761
8.3%
151
8.3%
7271
8.3%
71
8.3%
10391
8.3%
2901
8.3%
3611
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
71
8.3%
151
8.3%
311
8.3%
561
8.3%
2901
8.3%
3611
8.3%
4911
8.3%
7271
8.3%
7731
8.3%
9761
8.3%
ValueCountFrequency (%)
40811
8.3%
10391
8.3%
9761
8.3%
7731
8.3%
7271
8.3%
4911
8.3%
3611
8.3%
2901
8.3%
561
8.3%
311
8.3%

robbbPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean675.42
Minimum40.66
Maximum1658.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.709024image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum40.66
5-th percentile59.525
Q1194.9325
median701.68
Q3829.75
95-th percentile1642.005
Maximum1658.12
Range1617.46
Interquartile range (IQR)634.8175

Descriptive statistics

Standard deviation546.2295821
Coefficient of variation (CV)0.8087258033
Kurtosis-0.106187545
Mean675.42
Median Absolute Deviation (MAD)330.64
Skewness0.7069288725
Sum8105.04
Variance298366.7563
MonotonicityNot monotonic
2022-12-01T22:23:32.789520image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
233.511
8.3%
74.961
8.3%
743.431
8.3%
1658.121
8.3%
79.21
8.3%
662.321
8.3%
40.661
8.3%
1628.821
8.3%
808.071
8.3%
540.121
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
40.661
8.3%
74.961
8.3%
79.21
8.3%
233.511
8.3%
540.121
8.3%
662.321
8.3%
741.041
8.3%
743.431
8.3%
808.071
8.3%
894.791
8.3%
ValueCountFrequency (%)
1658.121
8.3%
1628.821
8.3%
894.791
8.3%
808.071
8.3%
743.431
8.3%
741.041
8.3%
662.321
8.3%
540.121
8.3%
233.511
8.3%
79.21
8.3%

assaults
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1855.083333
Minimum66
Maximum6184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:32.882372image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile187
Q1492.25
median1287
Q32202.5
95-th percentile5474.5
Maximum6184
Range6118
Interquartile range (IQR)1710.25

Descriptive statistics

Standard deviation1922.979575
Coefficient of variation (CV)1.036600103
Kurtosis1.315004592
Mean1855.083333
Median Absolute Deviation (MAD)858.5
Skewness1.444724864
Sum22261
Variance3697850.447
MonotonicityNot monotonic
2022-12-01T22:23:32.968140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10151
8.3%
3011
8.3%
19281
8.3%
30261
8.3%
2861
8.3%
5561
8.3%
661
8.3%
48941
8.3%
11671
8.3%
14071
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
661
8.3%
2861
8.3%
3011
8.3%
5561
8.3%
10151
8.3%
11671
8.3%
14071
8.3%
14311
8.3%
19281
8.3%
30261
8.3%
ValueCountFrequency (%)
61841
8.3%
48941
8.3%
30261
8.3%
19281
8.3%
14311
8.3%
14071
8.3%
11671
8.3%
10151
8.3%
5561
8.3%
3011
8.3%

assaultPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3603.488333
Minimum517.44
Maximum10473.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.058941image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum517.44
5-th percentile787.5725
Q11413.2475
median3093.445
Q34202.9325
95-th percentile8647.0245
Maximum10473.69
Range9956.25
Interquartile range (IQR)2789.685

Descriptive statistics

Standard deviation2984.639941
Coefficient of variation (CV)0.8282640778
Kurtosis1.234679987
Mean3603.488333
Median Absolute Deviation (MAD)1776.98
Skewness1.297451908
Sum43241.86
Variance8908075.579
MonotonicityNot monotonic
2022-12-01T22:23:33.140926image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3452.211
8.3%
1008.591
8.3%
2989.641
8.3%
6455.11
8.3%
1510.031
8.3%
1972.981
8.3%
517.441
8.3%
10473.691
8.3%
3197.251
8.3%
3389.551
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
517.441
8.3%
1008.591
8.3%
1122.91
8.3%
1510.031
8.3%
1972.981
8.3%
2989.641
8.3%
3197.251
8.3%
3389.551
8.3%
3452.211
8.3%
6455.11
8.3%
ValueCountFrequency (%)
10473.691
8.3%
7152.481
8.3%
6455.11
8.3%
3452.211
8.3%
3389.551
8.3%
3197.251
8.3%
2989.641
8.3%
1972.981
8.3%
1510.031
8.3%
1122.91
8.3%

burglaries
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3774.666667
Minimum105
Maximum8683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.227327image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile160
Q11350.75
median3203
Q35983.25
95-th percentile8297.45
Maximum8683
Range8578
Interquartile range (IQR)4632.5

Descriptive statistics

Standard deviation2982.777209
Coefficient of variation (CV)0.7902094337
Kurtosis-1.115994222
Mean3774.666667
Median Absolute Deviation (MAD)2494
Skewness0.3871735957
Sum45296
Variance8896959.879
MonotonicityNot monotonic
2022-12-01T22:23:33.306314image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15741
8.3%
6811
8.3%
35371
8.3%
69261
8.3%
2051
8.3%
42171
8.3%
1051
8.3%
86831
8.3%
28481
8.3%
28691
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
1051
8.3%
2051
8.3%
6811
8.3%
15741
8.3%
28481
8.3%
28691
8.3%
35371
8.3%
42171
8.3%
56691
8.3%
69261
8.3%
ValueCountFrequency (%)
86831
8.3%
79821
8.3%
69261
8.3%
56691
8.3%
42171
8.3%
35371
8.3%
28691
8.3%
28481
8.3%
15741
8.3%
6811
8.3%

burglPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7361.9775
Minimum841.2
Maximum18891.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.391222image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum841.2
5-th percentile973.8435
Q11941.12
median6742.41
Q39604.79
95-th percentile17106.787
Maximum18891.46
Range18050.26
Interquartile range (IQR)7663.67

Descriptive statistics

Standard deviation5816.798751
Coefficient of variation (CV)0.7901136279
Kurtosis-0.143827025
Mean7361.9775
Median Absolute Deviation (MAD)4965.2
Skewness0.7404196165
Sum88343.73
Variance33835147.71
MonotonicityNot monotonic
2022-12-01T22:23:33.477647image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7249.81
8.3%
2105.031
8.3%
6705.231
8.3%
15646.61
8.3%
1082.371
8.3%
6779.591
8.3%
841.21
8.3%
18891.461
8.3%
8757.581
8.3%
6689.061
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
841.21
8.3%
1082.371
8.3%
1449.391
8.3%
2105.031
8.3%
6689.061
8.3%
6705.231
8.3%
6779.591
8.3%
7249.81
8.3%
8757.581
8.3%
12146.421
8.3%
ValueCountFrequency (%)
18891.461
8.3%
15646.61
8.3%
12146.421
8.3%
8757.581
8.3%
7249.81
8.3%
6779.591
8.3%
6705.231
8.3%
6689.061
8.3%
2105.031
8.3%
1449.391
8.3%

larcenies
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8549.833333
Minimum286
Maximum24789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.567217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum286
5-th percentile413.05
Q12244.75
median7133.5
Q310675.75
95-th percentile23205.55
Maximum24789
Range24503
Interquartile range (IQR)8431

Descriptive statistics

Standard deviation7912.113186
Coefficient of variation (CV)0.9254113942
Kurtosis0.5649391911
Mean8549.833333
Median Absolute Deviation (MAD)4086
Skewness1.09669679
Sum102598
Variance62601535.06
MonotonicityNot monotonic
2022-12-01T22:23:33.656703image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
25391
8.3%
13621
8.3%
62621
8.3%
106641
8.3%
5171
8.3%
107111
8.3%
2861
8.3%
219101
8.3%
80051
8.3%
55481
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
2861
8.3%
5171
8.3%
13621
8.3%
25391
8.3%
55481
8.3%
62621
8.3%
80051
8.3%
100051
8.3%
106641
8.3%
107111
8.3%
ValueCountFrequency (%)
247891
8.3%
219101
8.3%
107111
8.3%
106641
8.3%
100051
8.3%
80051
8.3%
62621
8.3%
55481
8.3%
25391
8.3%
13621
8.3%

larcPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18736.94
Minimum2026.58
Maximum50785.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.739815image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum2026.58
5-th percentile2413.2795
Q14616.785
median14765.01
Q326172.5725
95-th percentile44613.0345
Maximum50785.25
Range48758.67
Interquartile range (IQR)21555.7875

Descriptive statistics

Standard deviation15487.45302
Coefficient of variation (CV)0.8265732301
Kurtosis0.02587838993
Mean18736.94
Median Absolute Deviation (MAD)10382.345
Skewness0.8412410378
Sum224843.28
Variance239861201
MonotonicityNot monotonic
2022-12-01T22:23:33.827360image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
12812.461
8.3%
4655.31
8.3%
15124.821
8.3%
28892.51
8.3%
2729.671
8.3%
39563.041
8.3%
2026.581
8.3%
50785.251
8.3%
24081.291
8.3%
14405.21
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
2026.581
8.3%
2729.671
8.3%
4501.241
8.3%
4655.31
8.3%
12812.461
8.3%
14405.21
8.3%
15124.821
8.3%
24081.291
8.3%
25265.931
8.3%
28892.51
8.3%
ValueCountFrequency (%)
50785.251
8.3%
39563.041
8.3%
28892.51
8.3%
25265.931
8.3%
24081.291
8.3%
15124.821
8.3%
14405.21
8.3%
12812.461
8.3%
4655.31
8.3%
4501.241
8.3%

autoTheft
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3046.583333
Minimum49
Maximum11932
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:33.910204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile52.3
Q1263
median2256
Q34259.5
95-th percentile9228.75
Maximum11932
Range11883
Interquartile range (IQR)3996.5

Descriptive statistics

Standard deviation3528.221403
Coefficient of variation (CV)1.158091218
Kurtosis2.870992593
Mean3046.583333
Median Absolute Deviation (MAD)2032
Skewness1.644102172
Sum36559
Variance12448346.27
MonotonicityNot monotonic
2022-12-01T22:23:33.998184image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3021
8.3%
1461
8.3%
11551
8.3%
41831
8.3%
551
8.3%
44891
8.3%
491
8.3%
70171
8.3%
27191
8.3%
21371
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
491
8.3%
551
8.3%
1461
8.3%
3021
8.3%
11551
8.3%
21371
8.3%
23751
8.3%
27191
8.3%
41831
8.3%
44891
8.3%
ValueCountFrequency (%)
119321
8.3%
70171
8.3%
44891
8.3%
41831
8.3%
27191
8.3%
23751
8.3%
21371
8.3%
11551
8.3%
3021
8.3%
1461
8.3%

autoTheftPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4195.09
Minimum290.39
Maximum13121.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:34.082949image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum290.39
5-th percentile303.8045
Q11075.8575
median3299.43
Q36080.6775
95-th percentile10956.853
Maximum13121.73
Range12831.34
Interquartile range (IQR)5004.82

Descriptive statistics

Standard deviation4010.540359
Coefficient of variation (CV)0.9560081807
Kurtosis0.7518815733
Mean4195.09
Median Absolute Deviation (MAD)2596.625
Skewness1.130934372
Sum50341.08
Variance16084433.97
MonotonicityNot monotonic
2022-12-01T22:23:34.170635image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1301.71
8.3%
398.331
8.3%
2983.91
8.3%
9185.591
8.3%
290.391
8.3%
5591.581
8.3%
314.781
8.3%
13121.731
8.3%
7547.971
8.3%
3614.961
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
290.391
8.3%
314.781
8.3%
398.331
8.3%
1301.71
8.3%
2166.641
8.3%
2983.91
8.3%
3614.961
8.3%
3823.511
8.3%
5591.581
8.3%
7547.971
8.3%
ValueCountFrequency (%)
13121.731
8.3%
9185.591
8.3%
7547.971
8.3%
5591.581
8.3%
3823.511
8.3%
3614.961
8.3%
2983.91
8.3%
2166.641
8.3%
1301.71
8.3%
398.331
8.3%

arsons
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct10
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.08333333
Minimum0
Maximum235
Zeros3
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:34.254434image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.75
median20
Q398.75
95-th percentile173.95
Maximum235
Range235
Interquartile range (IQR)98

Descriptive statistics

Standard deviation72.95884062
Coefficient of variation (CV)1.278111077
Kurtosis2.010014767
Mean57.08333333
Median Absolute Deviation (MAD)20
Skewness1.490120571
Sum685
Variance5322.992424
MonotonicityNot monotonic
2022-12-01T22:23:34.333986image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03
25.0%
181
 
8.3%
1241
 
8.3%
1191
 
8.3%
581
 
8.3%
11
 
8.3%
2351
 
8.3%
921
 
8.3%
161
 
8.3%
221
 
8.3%
ValueCountFrequency (%)
03
25.0%
11
 
8.3%
161
 
8.3%
181
 
8.3%
221
 
8.3%
581
 
8.3%
921
 
8.3%
1191
 
8.3%
1241
 
8.3%
2351
 
8.3%
ValueCountFrequency (%)
2351
 
8.3%
1241
 
8.3%
1191
 
8.3%
921
 
8.3%
581
 
8.3%
221
 
8.3%
181
 
8.3%
161
 
8.3%
11
 
8.3%
03
25.0%

arsonsPerPop
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct10
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.535
Minimum0
Maximum356.38
Zeros3
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:34.411809image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.87
median103.28
Q3282.0125
95-th percentile330.6125
Maximum356.38
Range356.38
Interquartile range (IQR)275.1425

Descriptive statistics

Standard deviation136.2313051
Coefficient of variation (CV)0.9296844104
Kurtosis-1.676040514
Mean146.535
Median Absolute Deviation (MAD)103.28
Skewness0.2934163506
Sum1758.42
Variance18558.96848
MonotonicityNot monotonic
2022-12-01T22:23:34.491963image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
03
25.0%
107.451
 
8.3%
288.561
 
8.3%
219.11
 
8.3%
279.831
 
8.3%
9.161
 
8.3%
356.381
 
8.3%
309.531
 
8.3%
99.111
 
8.3%
89.31
 
8.3%
ValueCountFrequency (%)
03
25.0%
9.161
 
8.3%
89.31
 
8.3%
99.111
 
8.3%
107.451
 
8.3%
219.11
 
8.3%
279.831
 
8.3%
288.561
 
8.3%
309.531
 
8.3%
356.381
 
8.3%
ValueCountFrequency (%)
356.381
 
8.3%
309.531
 
8.3%
288.561
 
8.3%
279.831
 
8.3%
219.11
 
8.3%
107.451
 
8.3%
99.111
 
8.3%
89.31
 
8.3%
9.161
 
8.3%
03
25.0%

ViolentCrimesPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4434.085833
Minimum578.89
Maximum12587.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:34.578319image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum578.89
5-th percentile865.869
Q11896.415
median3865.76
Q35335.155
95-th percentile10319.54
Maximum12587.74
Range12008.85
Interquartile range (IQR)3438.74

Descriptive statistics

Standard deviation3593.160056
Coefficient of variation (CV)0.8103496846
Kurtosis1.02743423
Mean4434.085833
Median Absolute Deviation (MAD)2041.82
Skewness1.230414008
Sum53209.03
Variance12910799.19
MonotonicityNot monotonic
2022-12-01T22:23:34.667605image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3849.671
8.3%
1100.671
8.3%
3881.851
8.3%
8463.741
8.3%
1678.991
8.3%
2343.111
8.3%
578.891
8.3%
12587.741
8.3%
4364.11
8.3%
4143.061
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
578.891
8.3%
1100.671
8.3%
1678.991
8.3%
1968.891
8.3%
2343.111
8.3%
3849.671
8.3%
3881.851
8.3%
4143.061
8.3%
4364.11
8.3%
8248.321
8.3%
ValueCountFrequency (%)
12587.741
8.3%
8463.741
8.3%
8248.321
8.3%
4364.11
8.3%
4143.061
8.3%
3881.851
8.3%
3849.671
8.3%
2343.111
8.3%
1968.891
8.3%
1678.991
8.3%

nonViolPerPop
Real number (ℝ≥0)

HIGH CORRELATION
UNIQUE
ZEROS

Distinct12
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27312.375
Minimum0
Maximum83154.84
Zeros1
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size224.0 B
2022-12-01T22:23:34.756590image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1755.446
Q16394.5875
median20953.545
Q341672.855
95-th percentile65227.5845
Maximum83154.84
Range83154.84
Interquartile range (IQR)35278.2675

Descriptive statistics

Standard deviation24593.21001
Coefficient of variation (CV)0.9004420162
Kurtosis0.9226218459
Mean27312.375
Median Absolute Deviation (MAD)17306.47
Skewness1.01287064
Sum327748.5
Variance604825978.8
MonotonicityNot monotonic
2022-12-01T22:23:34.834021image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
21471.441
8.3%
7158.641
8.3%
20435.651
8.3%
50559.831
8.3%
4102.431
8.3%
44602.251
8.3%
3191.721
8.3%
83154.841
8.3%
40696.391
8.3%
17254.381
8.3%
Other values (2)2
16.7%
ValueCountFrequency (%)
01
8.3%
3191.721
8.3%
4102.431
8.3%
7158.641
8.3%
17254.381
8.3%
20435.651
8.3%
21471.441
8.3%
35120.931
8.3%
40696.391
8.3%
44602.251
8.3%
ValueCountFrequency (%)
83154.841
8.3%
50559.831
8.3%
44602.251
8.3%
40696.391
8.3%
35120.931
8.3%
21471.441
8.3%
20435.651
8.3%
17254.381
8.3%
7158.641
8.3%
4102.431
8.3%

Interactions

2022-12-01T22:23:28.127731image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:40.688709image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:42.982112image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.036252image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.022084image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.174051image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.151918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.288496image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.204006image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.236433image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.158338image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.295090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.396784image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.467266image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.755164image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:09.767341image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.659997image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.711423image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:16.000309image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:17.917705image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:19.884988image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:21.894168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:23.785453image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.135793image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.204001image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:40.797688image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:43.063202image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.112256image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.105463image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.249525image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.249501image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.366579image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.279016image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.314721image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.237491image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.377519image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.479853image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.546306image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.830533image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:09.843166image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.741512image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.792060image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:16.077041image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:17.997337image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:19.967317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:21.969572image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:23.867390image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.215862image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.285779image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:40.885656image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:43.148198image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.194389image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.194983image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.333843image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.341498image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.449695image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.360324image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.400291image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.324800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.465936image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.568096image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.631060image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.911928image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:09.923846image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.829661image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.887933image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:16.159650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:18.082214image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:20.053894image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:22.049490image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:24.302059image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.301742image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.370562image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:40.981771image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:43.232271image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.271968image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.278994image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.411578image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.443204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.527437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.436204image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.480916image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.407217image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.590033image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.652248image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.710730image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.988818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:10.000437image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.913957image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.969529image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:16.238476image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:18.162237image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:20.136752image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:22.124276image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:24.385585image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.383242image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.457762image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:41.070269image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:43.321670image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.358212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.372690image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.496118image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.535366image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.615543image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.520335image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.569421image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.496230image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.688830image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.744216image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.803200image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:08.074746image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:10.092093image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:12.006212image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:14.057801image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:16.325764image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:18.251475image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:20.231253image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:22.210785image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:24.475922image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.472514image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.537042image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:41.147168image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:43.399376image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:45.433167image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:47.455090image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.568247image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.620724image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.689685image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.592368image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.644763image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.573088image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.774046image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.824594image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.887989image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
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2022-12-01T22:22:53.134030image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.042606image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.079924image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.002225image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.136297image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.225010image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.300317image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.595125image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:09.612649image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.505650image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.541244image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:15.843278image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:17.758402image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:19.722393image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:21.731789image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:23.583586image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:25.972910image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:27.965588image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:29.961918image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:42.905728image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:44.958767image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:46.946818image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:49.093738image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:51.070294image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:53.214250image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:55.125998image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:57.163991image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:22:59.083565image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:01.219564image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:03.315223image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:05.386996image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:07.678692image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:09.694303image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:11.586723image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:13.629140image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:15.925950image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:17.842025image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:19.807421image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:21.815800image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:23.710838image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:26.057939image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
2022-12-01T22:23:28.050436image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Correlations

2022-12-01T22:23:34.949259image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2022-12-01T22:23:35.191502image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2022-12-01T22:23:36.214770image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2022-12-01T22:23:36.465758image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2022-12-01T22:23:30.129261image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
A simple visualization of nullity by column.
2022-12-01T22:23:30.648362image/svg+xmlMatplotlib v3.5.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

First rows

countyCodepopulationagePct12t21agePct12t29agePct16t24agePct65upmurdersmurdPerPoprapesrapesPerPoprobberiesrobbbPerPopassaultsassaultPerPopburglariesburglPerPoplarcenieslarcPerPopautoTheftautoTheftPerPoparsonsarsonsPerPopViolentCrimesPerPopnonViolPerPop
0111781510.78666720.6616679.84000020.6050002.04.6742.0159.3056.0233.511015.03452.211574.07249.802539.012812.46302.01301.7018.0107.453849.6721471.44
136541915.40500028.53000015.81500015.2300000.00.004.017.1331.074.96301.01008.59681.02105.031362.04655.30146.0398.330.00.001100.677158.64
2535069115.64444427.46555614.78666712.7066674.04.2690.0144.52491.0743.431928.02989.643537.06705.236262.015124.821155.02983.90124.0288.563881.8520435.65
3955705812.46187525.12937512.11000012.82125014.022.38149.0328.14976.01658.123026.06455.106926.015646.6010664.028892.504183.09185.59119.0219.108463.7450559.83
4111866612.33000024.46000011.68000015.8100000.00.0017.089.7615.079.20286.01510.03205.01082.37517.02729.6755.0290.390.00.001678.994102.43
51328318113.97428624.68142912.74857113.49571421.016.88157.0234.99727.0662.32556.01972.984217.06779.5910711.039563.044489.05591.5858.0279.832343.1144602.25
6152726415.80500027.52500015.55500011.7000000.00.003.020.787.040.6666.0517.44105.0841.20286.02026.5849.0314.781.09.16578.893191.72
717117485012.55970626.94323513.13647111.22000017.039.76216.0445.541039.01628.824894.010473.698683.018891.4621910.050785.257017.013121.73235.0356.3812587.7483154.84
82153023312.43315825.66526312.58210512.0252638.025.1696.0333.59290.0808.071167.03197.252848.08757.588005.024081.292719.07547.9792.0309.534364.1040696.39
92325389714.42666727.06666713.5666679.44222216.019.1383.0194.25361.0540.121407.03389.552869.06689.065548.014405.202137.03614.9616.099.114143.0617254.38

Last rows

countyCodepopulationagePct12t21agePct12t29agePct16t24agePct65upmurdersmurdPerPoprapesrapesPerPoprobberiesrobbbPerPopassaultsassaultPerPopburglariesburglPerPoplarcenieslarcPerPopautoTheftautoTheftPerPoparsonsarsonsPerPopViolentCrimesPerPopnonViolPerPop
2535069115.64444427.46555614.78666712.7066674.04.2690.0144.52491.0743.431928.02989.643537.06705.236262.015124.821155.02983.90124.0288.563881.8520435.65
3955705812.46187525.12937512.11000012.82125014.022.38149.0328.14976.01658.123026.06455.106926.015646.6010664.028892.504183.09185.59119.0219.108463.7450559.83
4111866612.33000024.46000011.68000015.8100000.00.0017.089.7615.079.20286.01510.03205.01082.37517.02729.6755.0290.390.00.001678.994102.43
51328318113.97428624.68142912.74857113.49571421.016.88157.0234.99727.0662.32556.01972.984217.06779.5910711.039563.044489.05591.5858.0279.832343.1144602.25
6152726415.80500027.52500015.55500011.7000000.00.003.020.787.040.6666.0517.44105.0841.20286.02026.5849.0314.781.09.16578.893191.72
717117485012.55970626.94323513.13647111.22000017.039.76216.0445.541039.01628.824894.010473.698683.018891.4621910.050785.257017.013121.73235.0356.3812587.7483154.84
82153023312.43315825.66526312.58210512.0252638.025.1696.0333.59290.0808.071167.03197.252848.08757.588005.024081.292719.07547.9792.0309.534364.1040696.39
92325389714.42666727.06666713.5666679.44222216.019.1383.0194.25361.0540.121407.03389.552869.06689.065548.014405.202137.03614.9616.099.114143.0617254.38
102557428315.09000035.85000019.45000010.05000098.017.80480.087.164081.0741.046184.01122.907982.01449.3924789.04501.2411932.02166.640.00.001968.890.00
112745758413.83411827.57294113.51117611.64294120.045.39188.0586.82773.0894.791431.07152.485669.012146.4210005.025265.932375.03823.5122.089.308248.3235120.93